• Developed and implemented AI-driven solutions for energy optimization, achieving significant improvements.• Implemented ETL pipelines and cloud-based data warehouse.• Real time data collection using various communication protocols.• Train machine learning models in a controlled environment, to check performance and real-world implementation.

• Developed ETL data pipelines. Apache Kafka, and Apache Airflow to streamline & data processing.• Develop cloud-based algorithms that allow real-time interaction and dynamic parameter adjustments for energy optimization.• Managed databases for handling historical data, ensuring efficient storage and retrieval.

• Provided efficient data storage solution. (Data lakes and Data warehouses)• Using google cloud services for different requirements. • Like: Power BI services for data analysis and for creating dashboards.

• Created ETL pipelines for high-frequency data and efficient data storage solutions.• Energy data analysis, and time-series forecasts for energy trading.• Time-series Forecasting for predicting the energy requirement and energy prices.